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Graphics hardware / Video cards / Parallel computing / Machine learning / GPGPU / CUDA / Semi-supervised learning / Graphics processing unit / Supervised learning / Computer hardware / Computing / Electronics


Document Date: 2009-05-04 10:04:34

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City

Catanzaro / Montreal / Kim / /

Company

IBM / Neural Information Processing Systems / GPU / J. VLSI Signal Processing Systems / Nvidia / /

Country

Canada / /

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Facility

Stanford University / /

IndustryTerm

recent deep belief network applications / machine learning algorithms / sparse coding algorithms / iterative algorithm / line search / document processing / stream processors / the same algorithm / convolutional networks / unsupervised learning algorithms / above algorithms / multicore hardware / deep belief networks / data processing / typical applications / bank / partial solution / graphics processors / graphics hardware / template algorithm / minimization algorithm / overall learning algorithm / large deep belief networks / natural language processing / machine learning applications / parallel algorithm / computing / overall algorithm / learning algorithm / learning algorithms / stream processor / /

Organization

office of Naval Research / Stanford University / NYU / Association for Computational Linguistics / /

Person

Quoc Le / Van De Geijn / Rajat Raina Anand Madhavan Andrew / Ethan Dreyfuss / Roger Grosse / Ian Goodfellow / Andrew Y. Ng / Field / /

Position

D. J. / cA Hidden UnitsB wB / wB / Dean / author / Sparse deep belief net model for visual area V2 / /

ProgrammingLanguage

R / /

ProvinceOrState

British Columbia / S. K. / /

PublishedMedium

Computational Linguistics / Machine Learning / /

SportsLeague

Stanford University / /

Technology

Our algorithm / above algorithms / RAM / stream processors / machine learning algorithms / Large-scale Deep Unsupervised Learning using Graphics Processors / overall algorithm / graphics processors / alternating minimization algorithm / machine translation / following iterative algorithm / GPUbased algorithm / machine learning / Operating System / following template algorithm / Shared Memory / inherently parallel algorithm / natural language processing / sparse coding algorithms / neural network / overall learning algorithm / using graphics processors / unsupervised algorithm / stream processor / Discussion Graphics processors / learning algorithms / caching / unsupervised learning algorithms / 8 stream processors / same algorithm / /

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